Description Usage Arguments Examples
This function allows you to calculate the permuted significance of selected CA dimensions. Number of permutation set at 999. Since the function returns a scatterplot, the function requires that two dimensions are entered.
1 | sig.ca.dim.perm(data, x, y)
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data |
Name of the dataset. |
x |
First dimension whose significance is calculated. |
y |
Second dimension whose significance is calculated. |
1 | sig.ca.dim.perm(data, 1,2) Returns a scatterplot of the permuted inertia of the 1 CA dimension against the permuted inertia of the 2 CA dimension. Observed inertia of the selected dimensions and 95th percentile of the permuted inertias are also displayed for testing the significance of the observed inertias.
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